- Design and develop machine learning software solutions for semiconductor device and thin film metrology

- Work with both internal and external customers to define requirements for these software solutions

- Build machine learning-based software solutions

- Optimize algorithms and prototypical solutions for efficient implementation

- Design, develop, implement, oversee, and adapt API

- Extend prototypes into fully functional, polished solutions ready for internal and/or external use

- Implement solutions in Python with TensorFlow

- Write comprehensive unit tests and provide technical support during alpha and beta testing

- Document the design and implementation of the software solutions, and give presentations both internally and externally regarding the work

- Maintain new and existing software solutions throughout the life-cycle of our tools

Preferred Qualifications:

- Strong background in machine learning using regression models and TensorFlow framework

- Background in software architecture, modern development practices, and design patterns

- Background in Python or C#, especially in writing production-quality, object-oriented code

- Background in parallel / distributed computing, performance profiling, and memory optimization

Minimum Qualification:

- 2 Years' experience leading or managing a team of machine learning algorithm engineers

- BS in Computer Science or related computational field with at least 10 years of experience or

- MS in Computer Science or related computational field with at least 8 years of experience or

- PhD in Computer Science or related computational field with at least 5 years of experience

Skills: C++ or Python, Machine learning (using regression models and TensorFlow framework, Artificial intelligence, Physics/FEA/CFD/electromagnetics)

- Btech or MTEch - 8+ yrs C++ or python

- PHD - 5+ years C++ or python

- Product Company Experience is a must.

Education - Tier -1 colleges like (IIT, IIIT, VIT, NIT)